"Since right-brain thinkers often gravitate to service jobs, the examples used in the book follow a theme that demonstrates the use of SPC in a service organization: an imaginary law firm. These examples can be adapted to any situation and they do not require knowledge of the legal profession. Also, the theme demonstrates the process involved in planning and deploying SPC, highlighting the human factors and workplace realities that are especially critical to putting SPC to work in a service environment."--BOOK JACKET.
Statistical process control is a tool which enables both manufacturers and suppliers to achieve control of product quality by applying statistical methods to controlling processes. This guide provides an introduction to the concept.
The use of quality and continual improvement is no longer considered the sole property of manufacturing or of the traditional engineering and production environment. Most professionals entering the workforce today are required to analyze situations, identify problems, and provide solutions for improved performance. Improving the organization is everyone's job. Teamwork is critical, requiring the participation of members of all backgrounds, nationalities, educational levels, and career aspirations. This book is for anyone who wants to improve themselves and/or their organization. It is particularly salient for those at the beginning stages of learning about the history, concepts, and tools of quality. In addition, the content of this book is structured exactly to follow the Body of Knowledge (BoK) of ASQ's Certified Quality Improvement Associate (CQIA) certification. While the content coincides with the sequence of the BoK, each chapter stands alone, and the chapters may be read in any order. Where appropriate, supplemental reading suggestions are provided.
This updated and expanded edition discusses many different tools for root cause analysis and presents them in an easy-to-follow structure: a general description of the tool, its purpose and typical applications, the procedure when using it, an example of its use, a checklist to help you make sure if is applied properly, and different forms and templates (that can also be found on an accompanying CD-ROM). The examples used are general enough to apply to any industry or market. The layout of the book has been designed to help speed your learning. Throughout, the authors have split the pages into two halves: the top half presents key concepts using brief language—almost keywords—and the bottom half uses examples to help explain those concepts. A roadmap in the margin of every page simplifies navigating the book and searching for specific topics. The book is suited for employees and managers at any organizational level in any type of industry, including service, manufacturing, and the public sector.
The Easy-to-understand Guide to SPC and Data Analysis
Author: H. James Harrington
Publisher: McGraw Hill Professional
Category: Business & Economics
To consistently improve quality, it is important to first minimize variation. Statistical Process Control (SPC) is the driving force. Along with defining and detailing SPC, Statistical Analysis Simplified discusses ways to use measurement, numbers, and data to make better business decisions. Filled with self-tests, exercises, games, formulas, and simulations, this book presents today's complex methodologies in a practical and entertaining style. With its clear and accessible descriptions, statistics become easy to grasp and use to make better decisions.
Applied Statistics for the Six Sigma Green Belt is a desk reference for Six Sigma green belts or beginners who are not familiar with statistics. As Six Sigma team members, green belts will help select, collect data for, and assist with the interpretation of a variety of statistical or quantitative tools within the context of the Six Sigma methodology. This book will serve as an excellent instructional tool developing a strong understanding of basic statistics including how to describe data both graphically and numerically. Ites specific focus is on concepts, applications, and interpretations of the statistical tools used during, and as part of, the Design, Measure, Analyze, Improve, and Control (DMAIC) methodology. Preview a sample chapter from this book along with the full table of contents by clicking here. You will need Adobe Acrobat to view this pdf file.